Best Columnar Databases for IBM InfoSphere Information Server
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Compare the Top Columnar Databases that integrate with IBM InfoSphere Information Server as of April 2026
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This a list of Columnar Databases that integrate with IBM InfoSphere Information Server. Use the filters on the left to add additional filters for products that have integrations with IBM InfoSphere Information Server. View the products that work with IBM InfoSphere Information Server in the table below.
What are Columnar Databases for IBM InfoSphere Information Server?
Columnar databases, also known as column-oriented databases or column-store databases, are a type of database that store data in columns instead of rows. Columnar databases have some advantages over traditional row databases including speed and efficiency. Compare and read user reviews of the best Columnar Databases for IBM InfoSphere Information Server currently available using the table below. This list is updated regularly.
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Apache Cassandra
Apache Software Foundation
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages. -
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Apache HBase
The Apache Software Foundation
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Automatic failover support between RegionServers. Easy to use Java API for client access. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX.
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